Data Quality Transformation-Senior Associate
| Company | JP Morgan Chase |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Experience assisting in the development and execution of data quality strategies and initiatives
- Understanding of data management principles, data quality tools, and technologies
- Proficient at designing and implementing strategies and frameworks within a large organization
- Strong written and verbal communication skills, with the ability to convey information clearly and concisely
- Ability to prepare and deliver presentations to various audiences
- Strong analytical skills with the ability to identify challenges and propose solutions
- Attention to detail and a methodical approach to problem-solving
- Ability to manage multiple tasks and projects simultaneously, with strong organizational skills
- Strong interpersonal skills with the ability to work effectively in a team environment
- Willingness to learn and adapt to new challenges and technologies
Responsibilities
- Assist in the development and execution of data quality strategies and initiatives
- Contribute to the alignment of data quality goals with business objectives
- Support the design and implementation of data quality operating models and frameworks
- Assist in the documentation and maintenance of data quality policies, standards, and procedures
- Conduct data quality assessments and analyses to identify trends, issues, and areas for improvement
- Prepare reports and presentations on data quality metrics and findings for senior management
- Work closely with business units, IT, and other stakeholders to gather requirements and support data quality initiatives
- Facilitate communication and collaboration across teams to address data quality challenges
- Assist in the implementation of data governance frameworks and ensure compliance with data governance policies
- Assist in the implementation of controls to ensure data completeness, timeliness and accuracy
- Collaborate with team members to achieve project goals and deliverables
Preferred Qualifications
- Proficiency in data analysis and visualization tools (e.g., SQL, Tableau, Power BI)
- Familiarity with relevant regulatory requirements and industry standards related to data quality and data governance
- Experience in designing & documenting enterprise policies, standards & procedures to deliver on regulatory requirements
- Knowledge of the Operational Risk & Risk and Control Self-Assessment (RCSA) process
- Experience in project coordination and support